Summary

Dataset 1

Experiments excluded

Mask

Get figure file: figures/preliminary_dset-1_figure-mask.png

Peak coordinates

Get figure file: figures/preliminary_dset-1_figure-static.png
Get figure file: figures/preliminary_dset-1_figure-legend.png

Explorer

Meta-Analysis

Estimator

Parameters use to fit the meta-analytic estimator.

Corrector

Parameters use to fit the corrector.

Corrected meta-analytic map: z_corr-FDR_method-indep

Explorer

The following figure provides an interactive window to explore the meta-analytic map in detail.

Slice viewer

This panel shows the the corrrected meta-analytic map.

Get figure file: figures/corrector_figure-static.png

Diagnostics

Target image: z_corr-FDR_method-indep

Significant clusters

    X Y Z Peak Stat Cluster Size (mm3)
Tail Cluster ID          
Positive 1 56.00 -48.00 16.00 6.80 44088
1a 58.00 -40.00 20.00 6.29
1b 46.00 -62.00 4.00 6.12
1c 52.00 -46.00 8.00 6.12
2 38.00 22.00 -4.00 6.80 23616
2a 50.00 28.00 2.00 4.98
2b 48.00 22.00 -6.00 4.56
2c 48.00 16.00 26.00 4.56
3 -38.00 22.00 -2.00 5.74 16400
3a -40.00 22.00 -10.00 5.39
3b -34.00 20.00 4.00 4.77
3c -42.00 24.00 -14.00 4.77
4 -46.00 -66.00 8.00 5.58 27384
4a -54.00 -50.00 18.00 5.19
4b -56.00 -46.00 8.00 4.98
4c -42.00 -38.00 52.00 4.98
5 2.00 58.00 10.00 5.19 31056
5a -6.00 54.00 0.00 4.98
5b -4.00 46.00 -12.00 4.98
5c -4.00 52.00 0.00 4.98
6 0.00 -56.00 26.00 5.19 10408
6a 0.00 -54.00 34.00 3.87
6b -4.00 -44.00 38.00 3.87
6c -4.00 -54.00 36.00 3.87
7 -46.00 -58.00 -20.00 4.98 5088
7a -42.00 -50.00 -14.00 4.98
7b -42.00 -56.00 -20.00 4.56
7c -38.00 -48.00 -22.00 4.10
8 -20.00 -6.00 -18.00 4.56 2064
8a -16.00 0.00 -14.00 1.80
9 -34.00 -6.00 52.00 4.33 5936
9a -28.00 -6.00 58.00 4.10
9b -22.00 0.00 56.00 3.63
9c -54.00 6.00 28.00 3.39
10 -56.00 -6.00 -10.00 3.87 4856
10a -58.00 -24.00 2.00 3.63
10b -58.00 -10.00 -10.00 3.39
10c -58.00 -20.00 4.00 3.39
11 26.00 -2.00 60.00 3.63 2040
11a 30.00 2.00 54.00 3.63
11b 22.00 -4.00 56.00 3.39
11c 30.00 0.00 50.00 2.87
12 24.00 -2.00 -18.00 3.63 2336
13 22.00 -86.00 -4.00 3.13 1240
13a 22.00 -94.00 0.00 2.61
13b 26.00 -88.00 -6.00 2.61
14 36.00 -74.00 28.00 2.87 80
15 22.00 -48.00 -6.00 2.87 600
15a 16.00 -50.00 -12.00 2.07
15b 20.00 -54.00 -2.00 2.07
15c 26.00 -48.00 -4.00 2.07
16 50.00 -52.00 40.00 2.87 360
17 10.00 -88.00 20.00 2.87 1312
17a 12.00 -86.00 30.00 2.87
17b 6.00 -86.00 20.00 2.61
17c 8.00 -90.00 28.00 2.61
18 42.00 -4.00 48.00 2.87 240
19 -32.00 -52.00 50.00 2.87 296
20 -2.00 -16.00 44.00 2.61 472
20a -8.00 -20.00 40.00 1.80
20b -2.00 -12.00 38.00 1.80
21 26.00 -60.00 54.00 2.61 736
21a 18.00 -60.00 58.00 2.07
21b 26.00 -60.00 60.00 2.07
21c 26.00 -54.00 48.00 2.07
22 -50.00 10.00 -28.00 2.61 896
22a -48.00 4.00 -36.00 2.34
22b -48.00 8.00 -24.00 2.07
22c -48.00 10.00 -36.00 2.07
23 -4.00 -90.00 0.00 2.61 464
24 40.00 -30.00 58.00 2.34 104
25 -10.00 -76.00 -4.00 2.07 88
26 14.00 -24.00 2.00 2.07 88

Label map: positive tail

Get figure file: figures/diagnostics_tail-positive_figure.png

FocusCounter

The FocusCounter analysis characterizes the relative contribution of each experiment in a meta-analysis to the resulting clusters by counting the number of peaks from each experiment that fall within each significant cluster.

The heatmap presents the relative contributions of each experiment to each cluster in the thresholded map. There is one row for each experiment, and one column for each cluster, with column names being PostiveTail/NegativeTail indicating the sign (+/-) of the cluster's statistical values. The rows and columns were re-ordered to form clusters in the heatmap.

Heatmap: positive tail

Methods

We kindly ask to report results preprocessed with this tool using the following boilerplate.

A multilevel kernel density (MKDA) meta-analysis \citep{wager2007meta} was performed was performed
with NiMARE 0.6.1 (RRID:SCR_017398; \citealt{Salo2023}), using a(n) MKDA kernel. An MKDA kernel
\citep{wager2007meta} was used to generate study-wise modeled activation maps from coordinates. In
this kernel method, each coordinate is convolved with a sphere with a radius of 10.0 and a value of
1. For voxels with overlapping spheres, the maximum value was retained. Summary statistics (OF
values) were converted to p-values using an approximate null distribution. The input dataset
included 3797 foci from 499 experiments. False discovery rate correction was performed with the
Benjamini-Hochberg procedure \citep{benjamini1995controlling}.

Bibliography

@article{Salo2023,
  doi = {10.52294/001c.87681},
  url = {https://doi.org/10.52294/001c.87681},
  year = {2023},
  volume = {3},
  pages = {1 - 32},
  author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
  title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
  journal = {Aperture Neuro}
}
@article{benjamini1995controlling,
  title={Controlling the false discovery rate: a practical and powerful approach to multiple testing},
  author={Benjamini, Yoav and Hochberg, Yosef},
  journal={Journal of the Royal statistical society: series B (Methodological)},
  volume={57},
  number={1},
  pages={289--300},
  year={1995},
  publisher={Wiley Online Library},
  url={https://doi.org/10.1111/j.2517-6161.1995.tb02031.x},
  doi={10.1111/j.2517-6161.1995.tb02031.x}
}
@article{wager2007meta,
  title={Meta-analysis of functional neuroimaging data: current and future directions},
  author={Wager, Tor D and Lindquist, Martin and Kaplan, Lauren},
  journal={Social cognitive and affective neuroscience},
  volume={2},
  number={2},
  pages={150--158},
  year={2007},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/scan/nsm015},
  doi={10.1093/scan/nsm015}
}